Calculation of Ferrite Core Losses with Arbitrary Waveforms using the Composite Waveform Hypothesis: Reproducibility Dataset

<p><strong>Paper</strong></p> <p>This package contains the datasets used in the following paper:</p> <ul> <li><strong>Calculation of Ferrite Core Losses with Arbitrary Waveforms using the Composite Waveform Hypothesis</strong></li> <li><strong>Thomas Guillod, Jenna S. Lee, Haoran Li, Shukai Wang, Minjie Chen, and Charles R. Sullivan</strong></li> <li><strong><a href="https://doi.org/10.1109/APEC43580.2023.10131348">https://doi.org/10.1109/APEC43580.2023.10131348</a></strong></li> <li><strong>IEEE APEC 2023, Orlando, Florida, USA</strong></li> </ul> <p><strong>Datasets</strong></p> <p>The EPCOS TDK N87 datasets used in this paper are part of the MagNet initiative (<a href="http://mag-net.princeton.edu">https://mag-net.princeton.edu</a>). MagNet is an openly available large-scale dataset including measurements of several core materials under various operating conditions. MagNet is a joint project between Princeton University, Dartmouth College, and Plexim GmbH.</p> <p>This package includes the two datasets used in the paper:</p> <ul> <li>"N87_ambient_temperature" - Loss dataset for EPCOS TDK N87 at ambient temperature (measured on a R22.1X13.7X7.9, 2022-02-01).</li> <li>"N87_variable_temperature" - Loss dataset for EPCOS TDK N87 at different temperatures (measured on a R34.0X20.5X12.5, 2022-07-14).</li> </ul> <p>It should be noted that the datasets contains more measurements than used in the paper:</p> <ul> <li>The measurements where the iGCC can be evaluated without extrapolation are used in the paper.</li> <li>The measurements where the iGCC require an extrapolation of the loss data are not used in the paper.</li> <li>A flag in the dataset indicates in which category a measurement belongs.</li> </ul> <p>More details about the measurement setup can be found on the MagNet website (<a href="http://mag-net.princeton.edu">https://mag-net.princeton.edu</a>).</p> <p>More details about the iGCC method can be found on GitHub (<a href="https://github.com/otvam/magnet_webinar_eqn_models">https://github.com/otvam/magnet_webinar_eqn_models</a>).</p> <p><strong>File Formats</strong></p> <p>The datasets are available in three different formats:</p> <ul> <li>CSV (text files).</li> <li>MATLAB tables (MAT v7.3 binary files, exported with MATLAB 2021a).</li> <li>Pandas dataframes (HDF5 binary files, exported with Python 3.10.6 and Pandas 1.3.5).</li> </ul> <p>The file "dataset_metadata.csv" contains the description of the different variables.<br>The file "test_matlab.m" is a MATLAB test file for loading the MATLAB tables.<br>The file "test_python.py" is a Python test file for loading the Pandas dataframes.</p>